Analyzing Data with Power BI (20778)

Transcription

1 Analyzing Data with Power BI (20778) Duration: 3 Days Live Course Delivery Price: $1795 MOC On-Demand Price: $895 Discounts: We offer multiple discount options. Click here for more info. Delivery Options: Attend face-to-face in the classroom, remote-live or via MOC On- Demand. Students Will Learn Performing Power BI desktop data transformation Describing Power BI desktop modelling Creating a Power BI desktop visualization Implementing the Power BI service Describing how to connect to Excel data Describing how to collaborate with Power BI data Connecting directly to data stores Describing the Power BI developer API Describing the Power BI mobile app Course Description This is a Microsoft Official Course (MOC) and includes Microsoft courseware and hands-on labs. This course gives students a solid understanding of data analysis with Power BI. Topics include creating visualizations; connecting to Excel files; creating a Power BI dashboard; developing reports using the Power BI desktop App; using DAX syntax; accessing data in Azure SQL Data Warehouses; using the Power BI Mobile App and the Developer API. Course Prerequisites Before attending this course, students must have: Excellent knowledge of relational databases and reporting Some basic knowledge of data warehouse schema topology (including star and snowflake schemas) Some exposure to basic programming constructs (such as looping and branching) An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable Familiarity with Microsoft Office applications - particularly Excel

2 About MOC On-Demand This course is also available via on-demand. MOC On-Demand uses a combination of streaming video, text, lab exercises and assessment checks throughout the course. MOC On-Demand courses are available for 90 days and recommend the following system requirements: Browser: Current version of Internet Explorer, Microsoft Edge, Google Chrome or Firefox Internet: Broadband Internet connection of over 4Mbps Screen Resolution: 1280 x 1024 or higher Course Overview Module 1: Introduction to Self-Service BI Solutions Introduces business intelligence (BI) and how to self-serve with BI. Introduction to business intelligence Introduction to data analysis Introduction to data visualization Overview of self-service BI Considerations for self-service BI Microsoft tools for self-service BI Viewing reports Creating a Power BI report Creating a Power BI dashboard Describe the trends in BI Describe the process of data analysis in Power BI. Use the key visualizations in Power BI Describe the rationale for self-service BI Describe considerations for self-service BI Understand how you can use Microsoft products to implement a BI solution Module 2: Introducing Power BI This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

3 Power BI The Power BI service Connecting to Power BI data Create a Power BI dashboard Develop reports using the Power BI Desktop app Use report items to create dashboards on the Power BI portal. Understand the components of the Power BI service including licensing and tenant management Module 3: Power BI At the end of this module students will be able to explain the rationale and advantages of using Power BI. Using Excel as a data source for Power BI The Power BI data model Using databases as a data source for Power BI The Power BI service Importing Excel files into Power BI Viewing reports from Excel files Describe the data model and know how to optimize data within the model. Connect to Excel files and import data Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups Module 4: Shaping and Combining Data With Power BI desktop you can shape and combine data with powerful, built-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

4 Power BI desktop queries Shaping data Combining data Shape Power BI data Combine Power BI data Perform a range of query editing skills in Power BI Shape data, using formatting and transformations. Combine data together from tables in your dataset Module 5: Modeling Data This module describes how to shape and enhance data. Relationships DAX queries Calculations and measures Create relationships Calculations Describe relationships between data tables. Understand the DAX syntax, and use DAX functions to enhance your dataset Create calculated columns, calculated tables and measures Module 6: Interactive Data Visualizations This module describes how to create and manage interactive data visualizations. Creating Power BI reports Managing a Power BI solution Connecting to Power BI data Building Power BI reports Creating a Power BI dashboard

5 Use Power Bi desktop to create interactive data visualizations Manage a power BI solution Module 7: Direct Connectivity This module describes various connectivity options using Power BI. Cloud data Connecting to analysis services Direct connectivity from Power BI desktop Direct connectivity from the Power BI service Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop Use Power BI with SQL Server Analysis Services data, including Analysis services models running in multidimensional mode Module 8: The Developer API This module describes the developer API within Power BI. The developer API Custom visuals Using custom visuals Describe the developer API. Use the developer API to create custom visuals Module 9: Power BI Mobile App

6 This module describes the Power BI mobile app. Power BI mobile apps Using the Power BI mobile app Power BI embedded Describe the Power BI mobile app Download and use the Power BI mobile app. Describe Power BI embedded and when you would want to use it Hands On Technology Transfer, Inc. 1 Village Square, Suite 8 14 Fletcher Street Chelmsford, MA Copyright 2017 Hands On Technology Transfer, Inc.